Get a fully deployed, production-grade AI application — LangChain, FastAPI, PostgreSQL, and cloud hosting included. Not a demo. A real, running system delivered in days.
I Will Build and Deploy a Production-Ready AI LLM Application
A production-deployed LangChain AI application with basic UI, PostgreSQL storage, and cloud hosting.
- LangChain app with FastAPI backend
- Basic custom-branded UI included
- PostgreSQL integration and cloud deployment
- Full source code with detailed inline comments
- Model deployment to your chosen cloud platform
- 5 rounds of revisions
Everything in the MVP tier, plus a fine-tuned AI model and full dataset preparation for domain-specific performance.
- Everything included in the AI MVP tier
- Fine-tuned AI model using LoRA or QLora on your data
- Dataset preparation and curation included
- Extended 10-day delivery for thorough build and testing
- Full source code, Docker containers, and CI/CD pipeline
- 7 rounds of revisions
The complete production AI system — fine-tuned model, full dataset work, unlimited revisions, and 30-day post-launch support.
- Everything included in the Boost Build tier
- Advanced RAG, AI agents, or multi-model architecture as required
- Admin dashboard with conversation monitoring and analytics
- 30-day production support following deployment
- Full documentation, Docker containers, and CI/CD pipeline
- Unlimited revisions throughout the engagement
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Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
Tech Stack
Deployment Included
LLMs Supported
Post-Delivery Support
What You'll Receive
Full Description
You need more than a prototype. You need an AI application that handles real users, integrates with your existing systems, and runs reliably from day one.
This service delivers complete, end-to-end AI applications built on LLMs, LangChain, and Python — architected for production, not just proof of concept. Every build includes a FastAPI backend, PostgreSQL or Pinecone storage, cloud deployment, source code, and documentation. Your app is live and running.
**What gets built**
Depending on your requirements, the application can take several forms: AI agents capable of multi-step reasoning, research, data analysis, and API execution; retrieval-augmented generation (RAG) systems that make your documents queryable via GPT-4o or Claude; fine-tuned LLM deployments using Llama or GPT models with LoRA/QLora; custom-branded UIs that embed cleanly into your website or mobile app; and admin dashboards for monitoring conversations, analytics, and performance metrics.
**The full-stack technical foundation**
Every project is built on a cohesive, modern stack: LangChain and LangGraph for orchestration, FastAPI for backend APIs, PostgreSQL and Pinecone for structured and vector storage, PyTorch and Transformers for model work, React for the frontend, and Docker with AWS, Runpod, or equivalent for deployment. Guardrails and evaluations are built in as standard.
**What you receive**
Full source code with detailed inline comments, Docker containers, CI/CD pipeline configuration, deployment to your chosen cloud platform, and 30 days of production support post-delivery. No black-box handoffs — you own everything.
**Integrations available**
The application can connect to your existing tools and infrastructure: CRM platforms such as HubSpot or Salesforce, relational databases including PostgreSQL and MySQL, messaging platforms such as Slack or WhatsApp, and any custom REST API your business relies on.
**Who this is for**
Startups and scale-ups that need a working AI product shipped quickly. Development teams that want a senior AI engineer to own the build end to end. Businesses looking to add intelligent automation — document Q&A, AI agents, LLM-powered workflows — without building an in-house AI function from scratch.
The entry tier delivers an AI MVP: a LangChain application with a basic UI, PostgreSQL integration, and cloud deployment, live within five days. Larger tiers add fine-tuned model capability, dataset preparation, extended delivery windows, and more revision rounds — all described in the packages below.
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Compare Packages
| Feature | AI MVP | Boost Build | Premium System |
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
| Revisions | 5 | 7 | unlimited |
| LangChain app with FastAPI backend | ✓ | ✕ | ✕ |
| Basic custom-branded UI included | ✓ | ✕ | ✕ |
| PostgreSQL integration and cloud deployment | ✓ | ✕ | ✕ |
| Full source code with detailed inline comments | ✓ | ✕ | ✕ |
| Model deployment to your chosen cloud platform | ✓ | ✕ | ✕ |
| 5 rounds of revisions | ✓ | ✕ | ✕ |
| Everything included in the AI MVP tier | ✕ | ✓ | ✕ |
| Fine-tuned AI model using LoRA or QLora on your data | ✕ | ✓ | ✕ |
| Dataset preparation and curation included | ✕ | ✓ | ✕ |
| Extended 10-day delivery for thorough build and testing | ✕ | ✓ | ✕ |
| Full source code, Docker containers, and CI/CD pipeline | ✕ | ✓ | ✕ |
| 7 rounds of revisions | ✕ | ✓ | ✕ |
| Everything included in the Boost Build tier | ✕ | ✕ | ✓ |
| Advanced RAG, AI agents, or multi-model architecture as required | ✕ | ✕ | ✓ |
| Admin dashboard with conversation monitoring and analytics | ✕ | ✕ | ✓ |
| 30-day production support following deployment | ✕ | ✕ | ✓ |
| Full documentation, Docker containers, and CI/CD pipeline | ✕ | ✕ | ✓ |
| Unlimited revisions throughout the engagement | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.
Build and Deploy a Production-Ready AI LLM Application
Build and Deploy a Production-Ready AI LLM Application
Extra Information
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Frequently Asked Questions
Every build uses a FastAPI backend, PostgreSQL or Pinecone for persistent storage, Docker for containerisation, and cloud deployment with rate limiting and error tracking. These are not Streamlit prototypes — they are architected to handle real users reliably from day one.
GPT-4o, Claude 3.5, Llama 3.1 and 405B (fine-tuned), Mistral, and other open-source models deployed via LoRA or QLora. The right model is selected based on your use case and budget.
AWS (Lambda and EC2), Runpod, Azure, Vercel, Heroku, and DigitalOcean. All deployments are Dockerised, so the application is portable if you wish to move it later.
Yes. Integrations are available with CRM platforms such as HubSpot and Salesforce, databases including PostgreSQL and MySQL, messaging platforms such as Slack and WhatsApp, and any custom REST API. Please describe your integration requirements when placing your order.
A description of your project goals, the type of AI application you need, any datasets or documents relevant to the build, and access credentials for your preferred cloud platform. The more context you share upfront, the faster the build moves.
Fine-tuning adapts a base model — such as Llama or a GPT variant — to your specific domain using LoRA, QLora, or FlashAttention techniques. It is included in the Boost Build and Premium System tiers, along with full dataset preparation.
You receive full source code, Docker containers, CI/CD pipeline configuration, and documentation. The Premium System tier includes 30 days of production support. For all tiers, the order chat remains available to address any questions during handover.
Each revision round covers a consolidated set of changes or feedback. Revisions are scoped to the original agreed requirements — significant new features added mid-project may be quoted separately. The Premium System tier includes unlimited revisions throughout the entire engagement.
Customer Reviews
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He is professional, quick responding and covered more than was requested. Keep the great work.
The best will recommend
Excellent job!
Exceptional LLM & Chatbot Development Expertise Ai Maverick has so far been an outstanding partner in my LLM and chatbot development projects, particularly around LlamaParse and LangChain. Starting with an initial project, his excellent results led to an extended collaboration. His technical knowledge, combined with a keen understanding of my project needs, has resulted in very good results. Communication and project management with Ai Maverick are top-notch, ensuring projects are delivered on time and with high quality.
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